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GitHub / Ashutosh27ind / BFS_credit_default_prediction

In this project, task is to help banking organization to identify the right customers using predictive models. Using past data of the bank’s applicants, you need to determine the factors affecting credit risk, create strategies to mitigate the acquisition risk and assess the financial benefit of the project.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ashutosh27ind%2FBFS_credit_default_prediction
PURL: pkg:github/Ashutosh27ind/BFS_credit_default_prediction

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 2.72 MB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: over 2 years ago
Pushed at: over 2 years ago
Last synced at: over 1 year ago

Topics: bfsi, decision-tree, default-prediction, logistic-regression, random-forest, woe

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